App DevOps

• Data Engineer ensuring the smooth functioning of our applications and data systems
• Your expertise in Data Ingestion, Release Management, Monitorization, Incident Review, Databricks, Azure Cloud, and Data Analysis will be instrumental in maintaining the reliability, availability, and performance of our applications and data pipelines
• You will collaborate closely with cross-functional teams to support application deployments, monitor system health, analyze data, and provide timely resolutions to incidents
• The ideal candidate should have a strong background in Azure DevOps, Azure Cloud specially ADF, Databricks, and AWS Cloud

List of Key Responsibilities:

Implement and manage data ingestion processes to acquire data from various sources and ensure its accuracy and completeness in our systems.

Collaborate with development and operations teams to facilitate the release management process, ensuring successful and efficient deployment of application updates and enhancements.

Monitor the performance and health of applications and data pipelines, promptly identifying and addressing any anomalies or potential issues.

Respond to incidents and service requests in a timely manner, conducting thorough incident reviews to identify root causes and implementing effective solutions to prevent recurrence.

Utilize Databricks and monitoring tools to analyze application logs, system metrics, and data to diagnose and troubleshoot issues effectively.

Analyze data-related issues, troubleshoot data quality problems, and propose solutions to optimize data workflows.

Utilize Azure Cloud services to deploy and manage applications and data infrastructure efficiently.

Document incident reports, resolutions, and support procedures for knowledge sharing and future reference.

Continuously improve support processes and workflows to enhance efficiency, minimize downtime, and improve the overall reliability of applications and data systems.

Stay up-to-date with the latest technologies and industry best practices related to application support, data analysis, and cloud services.

Technical Knowledge:

Technology Level of expertise* Priority Must Nice to have